Control Issues and Recent Solutions for Voltage Controlled Piezoelectric Elements Utilizing Artificial Neural Networks

摘要

Performing actuation in nanomanipulation at the necessary accuracy is largely possible thanks to many new piezoelectric actuation systems. Although piezoelectric actuators can provide means to perform near infinitely small displacements at extremely high resolutions, the output of the actuator motion can be quite nonlinear, especially under voltage based control modulation. In this work, we will cover some of the control issues, related especially to piezoelectric actuation in nanomanipulation tasks. We will also take a look at some of the recent improvements made possible by methods utilizing artificial neural networks for improving the generalization capability and the accuracy of piezoelectric hysteresis models used in inverse modelling and control of the solid-state voltage controlled piezoelectric actuators. We will also briefly discuss the problem areas in which the piezoelectric control method research should be especially focused on and some of the weaknesses of the existing methods. In addition, some of the common issues related to testing and result representations are discussed.